Virtual audience using low bitrate avatars and laughter detection

ABSTRACT

Aspects of the subject disclosure may include, for example, a method in which a processing system acquires a video image and voice data of a remote viewer of a live event content and generating animation parameters relating to the video image. An avatar of the viewer is constructed based on the animation parameters; the avatar includes an animated version of the video image. The animated version and voice data are encoded to obtain a compressed animation data stream and a compressed audio stream, which are transmitted at a low bit rate to a remote system providing the content. The remote system aggregates compressed animation data streams and compressed audio streams to obtain a virtual audience for the event; the virtual audience includes avatars of the remote viewers and sound produced by the remote viewers. Other embodiments are disclosed.

CROSS-REFERENCE TO RELATED APPLICATIONS

The present application claims priority to and is a continuation of U.S. patent application Ser. No. 17/021,624, filed Sep. 15, 2020. All sections of the aforementioned application are incorporated herein by reference in their entirety.

FIELD OF THE DISCLOSURE

The subject disclosure relates to a remote viewing of live events, and more particularly to a system for simulating a live audience for the event to improve a remote user's viewing experience and give live feedback to the performer(s).

BACKGROUND

Entertainment and sports programs can be delivered to remote viewers with no live audience (for example, when required by social distancing rules). The lack of a live audience can degrade the quality of the viewing experience, especially for comedy and sports programs.

BRIEF DESCRIPTION OF THE DRAWINGS

Reference will now be made to the accompanying drawings, which are not necessarily drawn to scale, and wherein:

FIG. 1 is a block diagram illustrating an exemplary, non-limiting embodiment of a communications network in accordance with various aspects described herein.

FIG. 2A is a block diagram illustrating an example, non-limiting embodiment of a system functioning within the communication network of FIG. 1 in accordance with various aspects described herein.

FIG. 2B schematically illustrates a client/server architecture in accordance with embodiments of the disclosure.

FIG. 2C schematically illustrates an audio/video facial capture client for generating members of a virtual audience, in accordance with embodiments of the disclosure.

FIG. 2D illustrates Face Definition Parameter (FDP) feature points of a face model used to generate an animated virtual audience member, in accordance with embodiments of the disclosure.

FIG. 2E schematically illustrates a procedure in which multiple animation streams, including avatars of viewers of a program, are transmitted to a content processing system delivering program content, in accordance with embodiments of the disclosure.

FIG. 2F schematically illustrates a system for producing a live event that is viewed by a remote audience, in accordance with embodiments of the disclosure.

FIG. 2G schematically illustrates a system for cloud-based production and presentation of a live event that is viewed by a remote audience, in accordance with embodiments of the disclosure.

FIG. 2H schematically illustrates a system for cloud-based production and presentation of a live event with a virtual audience, in accordance with embodiments of the disclosure.

FIG. 2I is a flowchart depicting an illustrative embodiment of a method in accordance with various aspects described herein.

FIG. 3 is a block diagram illustrating an example, non-limiting embodiment of a virtualized communication network in accordance with various aspects described herein.

FIG. 4 is a block diagram of an example, non-limiting embodiment of a computing environment in accordance with various aspects described herein.

FIG. 5 is a block diagram of an example, non-limiting embodiment of a mobile network platform in accordance with various aspects described herein.

FIG. 6 is a block diagram of an example, non-limiting embodiment of a communication device in accordance with various aspects described herein.

DETAILED DESCRIPTION

The subject disclosure describes, among other things, illustrative embodiments for providing an animated virtual audience at a live event. In various embodiments, remote viewers' faces are captured in order to drive avatars to protect privacy and avoid inappropriate video content. Audio from the viewers is processed to remove speech while including laughter, cheering and applause. Other embodiments are described in the subject disclosure.

One or more aspects of the subject disclosure include a method performed by a processing system in which the processing system acquires a video image of a remote viewer of a plurality of remote viewers of content depicting an event and acquires voice data of the remote viewer. The method also includes generating, by the processing system, animation parameters relating to the video image; the animation parameters are based on an animation model and correspond to spatial deviations of portions of the video image from feature points of the animation model. The method also includes constructing, based on the animation parameters, an avatar of the remote viewer comprising an animated version of the video image; encoding the animated version to obtain a compressed animation data stream; and encoding the voice data to obtain a compressed audio stream. The method further includes transmitting the compressed animation data stream and the compressed audio stream to a remote system providing the content. The remote system aggregates a plurality of compressed animation data streams and a plurality of compressed audio streams corresponding to the plurality of remote viewers, to obtain a virtual audience for the event; the virtual audience comprises avatars of the plurality of remote viewers and sound produced by the plurality of remote viewers, the sound being filtered to remove spoken words of the plurality of remote viewers.

One or more aspects of the subject disclosure include a device comprising a processing system including a processor and a memory that stores instructions; the instructions, when executed by the processing system, facilitate performance of operations. The operations comprise acquiring a video image of a remote viewer of a plurality of remote viewers of content depicting an event and acquiring voice data of the remote viewer. The operations also include generating face animation parameters relating to the video image; the face animation parameters are based on an animation model and correspond to spatial deviations of portions of the video image from feature points of the face animation model. The operations also include constructing, based on the face animation parameters, an avatar of the remote viewer comprising an animated version of the video image; encoding the animated version to obtain a compressed animation data stream; and encoding the voice data to obtain a compressed audio stream. The method further includes transmitting the compressed animation data stream and the compressed audio stream to a remote system providing the content. The remote system aggregates a plurality of compressed animation data streams and a plurality of compressed audio streams corresponding to the plurality of remote viewers, to obtain a virtual audience for the event; the virtual audience comprises avatars of the plurality of remote viewers and sound produced by the plurality of remote viewers, the sound being filtered to remove spoken words of the plurality of remote viewers.

One or more aspects of the subject disclosure include a machine-readable medium comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations. The operations comprise acquiring a video image of a remote viewer of a plurality of remote viewers of content depicting an event and acquiring voice data of the remote viewer. The operations also include generating face animation parameters relating to the video image; the face animation parameters are based on an animation model and correspond to spatial deviations of portions of the video image from feature points of the face animation model. The operations also include constructing, based on the face animation parameters, an avatar of the remote viewer comprising an animated version of the video image; encoding the animated version to obtain a compressed animation data stream; and encoding the voice data to obtain a compressed audio stream. The method further includes transmitting the compressed animation data stream and the compressed audio stream to a remote system providing the content. The remote system aggregates a plurality of compressed animation data streams and a plurality of compressed audio streams corresponding to the plurality of remote viewers, to obtain a virtual audience for the event; the virtual audience comprises avatars of the plurality of remote viewers and sound produced by the plurality of remote viewers, the sound being filtered in a filtering procedure performed at a cloud server to remove spoken words of the plurality of remote viewers.

Referring now to FIG. 1, a block diagram is shown illustrating an example, non-limiting embodiment of a system 100 in accordance with various aspects described herein. For example, system 100 can facilitate in whole or in part transmitting a compressed animation data stream and a compressed audio stream to a remote system providing content depicting a live event; the remote system aggregates a plurality of compressed animation data streams and a plurality of compressed audio streams corresponding to a plurality of remote viewers, to obtain a virtual audience for the event. In particular, a communications network 125 is presented for providing broadband access 110 to a plurality of data terminals 114 via access terminal 112, wireless access 120 to a plurality of mobile devices 124 and vehicle 126 via base station or access point 122, voice access 130 to a plurality of telephony devices 134, via switching device 132 and/or media access 140 to a plurality of audio/video display devices 144 via media terminal 142. In addition, communication network 125 is coupled to one or more content sources 175 of audio, video, graphics, text and/or other media. While broadband access 110, wireless access 120, voice access 130 and media access 140 are shown separately, one or more of these forms of access can be combined to provide multiple access services to a single client device (e.g., mobile devices 124 can receive media content via media terminal 142, data terminal 114 can be provided voice access via switching device 132, and so on).

The communications network 125 includes a plurality of network elements (NE) 150, 152, 154, 156, etc. for facilitating the broadband access 110, wireless access 120, voice access 130, media access 140 and/or the distribution of content from content sources 175. The communications network 125 can include a circuit switched or packet switched network, a voice over Internet protocol (VoIP) network, Internet protocol (IP) network, a cable network, a passive or active optical network, a 4G, 5G, or higher generation wireless access network, WIMAX network, UltraWideband network, personal area network or other wireless access network, a broadcast satellite network and/or another communications network.

In various embodiments, the access terminal 112 can include a digital subscriber line access multiplexer (DSLAM), cable modem termination system (CMTS), optical line terminal (OLT) and/or other access terminal. The data terminals 114 can include personal computers, laptop computers, netbook computers, tablets or other computing devices along with digital subscriber line (DSL) modems, data over coax service interface specification (DOCSIS) modems or other cable modems, a wireless modem such as a 4G, 5G, or higher generation modem, an optical modem and/or other access devices.

In various embodiments, the base station or access point 122 can include a 4G, 5G, or higher generation base station, an access point that operates via an 802.11 standard such as 802.11n, 802.11ac or other wireless access terminal. The mobile devices 124 can include mobile phones, e-readers, tablets, phablets, wireless modems, and/or other mobile computing devices.

In various embodiments, the switching device 132 can include a private branch exchange or central office switch, a media services gateway, VoIP gateway or other gateway device and/or other switching device. The telephony devices 134 can include traditional telephones (with or without a terminal adapter), VoIP telephones and/or other telephony devices.

In various embodiments, the media terminal 142 can include a cable head-end or other TV head-end, a satellite receiver, gateway or other media terminal 142. The display devices 144 can include televisions with or without a set top box, personal computers and/or other display devices.

In various embodiments, the content sources 175 include broadcast television and radio sources, video on demand platforms and streaming video and audio services platforms, one or more content data networks, data servers, web servers and other content servers, and/or other sources of media.

In various embodiments, the communications network 125 can include wired, optical and/or wireless links and the network elements 150, 152, 154, 156, etc. can include service switching points, signal transfer points, service control points, network gateways, media distribution hubs, servers, firewalls, routers, edge devices, switches and other network nodes for routing and controlling communications traffic over wired, optical and wireless links as part of the Internet and other public networks as well as one or more private networks, for managing subscriber access, for billing and network management and for supporting other network functions.

FIG. 2A is a block diagram illustrating an example, non-limiting embodiment 201 of an application of the communication network of FIG. 1 in accordance with various aspects described herein. A viewer 210 views a live event (for example, a sports event) shown on a display device 219; the display device may be integrated into the viewer's mobile communication device 211 or may be a separate device.

In this embodiment, device 211 executes a face/voice capture client for processing digital video data 212 and digital audio data 216 obtained by device 211. Recognition of a human face results in a set of descriptors that occur at a prescribed frame rate (e.g., 30 Hz). The face/voice capture client uses a standard face model 213 to perform an animation procedure 214 in which the video of the viewer's face is converted into an avatar 215. In this embodiment, the face animation is performed using the Motion Picture Experts Group MPEG-4 Face and Body Animation (FBA) standard. The avatar is included in a compressed animation stream that can be transmitted to a processing system providing the event program.

The audio data 216 representing the viewer's voice can be processed to generate a compressed audio stream 217. The avatar and audio associated with viewer 210 is then used to generate a virtual audience for the event. In an embodiment, avatars for a large number of viewers (for example, 10,000) are transmitted to the content processing system and then aggregated into a virtual audience, which then becomes a background for the programmed event. In a further embodiment, the virtual audience is visible to the performer(s) at the live event.

FIG. 2B schematically illustrates a client/server architecture 202 in accordance with embodiments of the disclosure. A network 220 includes a server 222 for generating the virtual audience, which includes avatars from human-computer interface (HCI) clients 221 executing on devices of program viewers. Each viewer device includes an animation player client 225 and a face/voice capture client 226, which respectively receive and transmit compressed video and audio streams 228. In this embodiment, a video representation of each viewer's face is provided by a compressed FBA stream, and the corresponding audio is provided by a compressed audio stream.

The MPEG-4 Face and Body Animation (FBA) standard provides low bit-rate delivery of animated avatars that reflect the viewers' emotions. The low bitrate of the animation streams enables large numbers of viewers to be placed virtually in a sports or entertainment venue (e.g., a stadium or a theater). In an embodiment, each viewer 210 consumes about 2 kilobits/sec (plus a bitrate required for the compressed audio), which enables thousands of animation streams to be delivered to the content processing system (e.g., a broadcast studio) during a live program.

FIG. 2C schematically illustrates an audio/video facial capture client 203 for generating members of a virtual audience, in accordance with embodiments of the disclosure. In this embodiment, an animated version of the face of viewer 230 is generated and transmitted to server 222 via network 220.

A camera 231-1 (for example, integrated in a smartphone on which the viewer is watching live-streaming of an event) produces digital video data 231-2 representing the viewer's face. In an embodiment, the camera includes depth sensors to capture the facial expression more accurately. In an additional embodiment, the video data can include eye tracking data to more accurately capture the expression shown in the viewer's eyes.

The facial capture client performs a procedure 232 in which face animation parameters (FAPs) 233 are generated from the video data. In this embodiment, FAP values are specified at a frame rate (e.g., 30 Hz) that is predefined by the camera or by a display device. The FAPs are calculated based on Face Definition Parameters (FDPs) which provide a model for the face, with feature points representing a neutral position of the face. In an embodiment, the face model is generated only once, using one or more still views of the head of viewer 230.

The FAPs correspond to displacements of the feature points from their neutral positions. Based on the FAPs, facial expression, lip motion, gaze direction and head pose can all be included in the face animation. A data stream comprising the animated face is then encoded 234 according to the MPEG-4 FBA standard, to produce a compressed MPEG-4 compliant animation stream 235 that can be transmitted over network 220.

A microphone 236-1 (for example, integrated in a smartphone of the viewer 230) produces digital audio data 236-2, which is encoded 237 to produce a compressed audio stream. In this embodiment, the audio stream is transmitted over network 220 to a cloud server where it is filtered to remove speech while including laughter, cheering and applause. In an embodiment, the audio stream is filtered (curated) using machine learning techniques.

It will be appreciated that the transformation of individual audience members into avatars can prevent transmission of inappropriate messages on signs, clothing, etc., while maintaining individuals' privacy. Furthermore, since the bitrate for the animation data is much less than for real-time video of the viewer's face and given that upstream bandwidth is generally much lower than downstream bandwidth, the use of compressed animation instead of compressed video enables low-latency communication from the audience members for optimal entertainment. In various embodiments, the communication from the audience members is performed using a low-latency communication protocol; for example, User Datagram Protocol (UDP), Secure Reliable Transport (SRT) protocol, or Web Real-Time Communication (WebRTC) protocol. The low bitrate of the FBA animation stream can permit thousands of remote audience members to participate using avatars, while avoiding video processing bottlenecks. In various embodiments, the compressed animation stream occupies less than about 2 kbps of bitrate and can therefore be transmitted over any network that can support coded acoustic speech. Transmission of compressed animation in combination with compressed audio in accordance with the present disclosure requires only about 10 kbps.

FIG. 2D is an illustration 204 of Face Definition Parameter (FDP) feature points of a face model used to generate an animated virtual audience member, in accordance with embodiments of the disclosure. In an embodiment, some of the feature points (shown as open circles in FIG. 2D) serve to define the shape of the face, while other feature points (shown as solid circles in FIG. 2D) can be displaced by FAPs. Feature points are shown for a full face 241, face profile 242, eyes 243-244, teeth 245, nose 246, tongue 247, and mouth 248.

In various embodiments, the face model corresponds to a neutral face position (for example, face 241), and FAPs are displacements of the feature points from the neutral face position. The FAPs are normalized to be proportional to a particular facial dimension; for example, iris diameter (distance between upper and lower eyelid), eye separation, eye/nose separation, mouth/nose separation, or mouth width. Normalization of FAPs permits face models to be developed independently of FAPs. In particular, an MPEG-4 compliant face model can be embedded into a decoder, stored on portable media, downloaded from a website, or integrated in a web browser. More generally, the normalization of FAPs permits any FBA compliant face model to be animated by any FAP stream. This enables the face model to be chosen by the viewer or system operator.

In an embodiment, a default face model is stored at (or otherwise accessible to) the face/voice capture client 226, and the viewer 210 can construct a new model or search for and select a model using the network. The default model can begin the animation procedure immediately while a new model is transmitted over the network.

FIG. 2E schematically illustrates a procedure 205 in which multiple animation streams, including avatars of viewers of a program, are transmitted to a content processing system delivering program content, in accordance with embodiments of the disclosure. In the non-limiting embodiment shown in FIG. 2E, three viewers 251-1, 251-2, 251-3 are viewing a program on their respective devices. The devices shown in FIG. 2E are handheld mobile devices; it is understood that the disclosure can apply to an exceptionally substantial number of viewers with a variety of devices that include a facial capture client (e.g., AR/VR devices).

Each viewer device performs a facial capture procedure to generate an animated version of the viewer's face (avatars 253-1, 253-2, 253-3). Each of the avatars is then included in an animation stream (255-1, 255-2, 255-3 respectively) which is transmitted at a low bit rate (less than about 2 kbps) via communication network 252 to a content processing and delivery system 250. In this embodiment, system 250 receives audio/video content of a remote live event 254, either by communicating with audio/video equipment at the live event or from an external content provider.

System 250 aggregates the multiple animation streams to obtain the avatars. The system then performs a compositing procedure 256 to present an assembly of avatars; in general, each avatar will be moving (with a new animation presented at a specified frame rate) and producing sounds (transmitted to the system as compressed audio files). In this embodiment, the assembly of avatars forms a virtual audience for the event, and the system 250 transmits the virtual audience to the animation player client 225 of each viewer device. Event viewers therefore see a synthetic audience and hear laughter, clapping, cheers and boos while inappropriate speech is filtered out from each audio stream in real time. In addition, no inappropriate video content will appear in the audience, since only avatars are shown.

In an additional embodiment, the virtual audience is transmitted to an audio/video display device 259 that can be viewed by one or more performers 257 at the event; this enables the performer to interact with the remote viewers via their avatars in the virtual audience space. In this embodiment, audio that originated from a particular viewer can be spatially mapped so that it appears to come from that viewer's avatar in the virtual audience. In particular, the system 250 can calculate a virtual distance corresponding to the distance between the performer and a live viewer whose avatar is seated in a given location in the virtual audience space. The volume of the audio from each virtual audience member can then be adjusted according to the virtual distance, to create a more lifelike situation.

In an embodiment, the animation includes the hands and torso of the viewer, in addition to the face. The capture client 226 applies MPEG-4 body animation coding to generate Body Animation Parameters (BAPs) that can be compressed, similarly to FAPs. Viewer movement (waving hands, etc.) can thus be included in the presentation of the virtual audience. Body animations can be triggered by recognizing vocalization type or facial expressions in FAPs.

In an embodiment, when a viewer begins to view the content (either at the beginning of the program or later), a message is first displayed on display 219, asking whether the viewer wants to be included in the virtual audience (either by opting in or opting out). If the viewer does not want to be included, the capture client 226 is disabled while the content is displayed.

In an embodiment, the viewer can react to the presentation of the live event by triggering an animation in real time via an input to the capture client 226 executing on his/her personal device (mobile communication device or AR\VR device), in order to obtain a more immersive user experience. In another embodiment, the system 250 can adjust the animation of one or more virtual audience members, so that the avatar(s) move in a manner not actually performed by the physical viewers. For example, in a large virtual audience at a sports event, the system can initiate a “Wave” involving a group of avatars, to provide more engagement for the remote physical audience.

In a further embodiment, the animation player client 225 can present the viewer's avatar at a specific location in the virtual audience. The viewer may also belong to a group of viewers whose avatars are seated together in the virtual audience, to create a more realistic virtual user experience by allowing friends to experience the event together as they would in an in-person setting. The grouping of avatars may be predefined (for example, according to a viewer's social network) or may be customized based on real-time communication among the viewers.

In another embodiment, the viewer's device may include a screen capture feature, so that a viewer may record the appearance of his/her avatar in the virtual audience for the event; the recording may then be shared on social media. In a further embodiment, the viewer can customize the appearance of his/her avatar by selecting clothing, accessories, etc. (for example, from an animation database accessible to the animation player client 225) to obtain a more personalized avatar appearance.

The presenter of the content may wish to build a virtual audience having more members than the number of current viewers. In an embodiment, system 250 can present one or more additional versions of selected avatars, at distinct locations in the virtual audience space. As noted above, the MPEG-4 Face Animation Parameters (FAPs) are normalized and thus can drive any face model regardless of shape or proportion. FAPs from each remote audience member can be applied to a variety of face models to increase the perceived number of virtual audience members in total. In a particular embodiment, the additional avatars are given a slightly different appearance relative to the original; for example, a different hair color, facial hair added or removed, etc. In order to avoid the perception of synchronized movement by replicated audience members in the virtual audience space, the FAP and audio streams can be delayed by small and variable amounts of time.

In order to emulate a live studio audience, the content can be presented accompanied by a laugh track. In an embodiment, the timing and character of the laugh track can be automatically controlled in real time using data obtained from the animation streams. For example, if a particular movement is associated with laughter or identified as a precursor to laughter, such a movement can serve as a trigger for the laugh track.

In another embodiment, the MPEG-4 FBA streams can be multiplexed into MPEG-2 transport streams or MP4 files, along with compressed audio and any other MPEG standard data.

In an embodiment, an audience can include both physical and virtual members. For example, if a content processor is a broadcast studio, a limited number of persons may be permitted on the studio premises. The members of the physical audience can then use augmented/virtual reality devices (e.g., AR/VR goggles) to place virtual audience members around the physical audience members. In another embodiment, remote viewers of the live content can use AR/VR goggles to view the live content and the audience members present in the studio. Processing and rendering of the virtual audience presented to the physical audience members can be performed at a remote computing device and then transmitted to the AR/VR devices.

FIG. 2F schematically illustrates a system 206 for producing a live event that is viewed by a live audience and a remote audience, in accordance with an embodiment of the disclosure. As shown in FIG. 2F, audio and video of the event (including the performance and participation by the live audience 261-3) are captured at the event venue 261 using cameras/microphones 261-1 and processed using mixers and other devices 261-2 to produce an audio/video MPEG transport stream 260. The transport stream is processed and encoded in the cloud 262 and transmitted via multiple adaptive bit rate (ABR) streams 263 to a content delivery network (CDN) 265. The CDN includes a server 265-1 that receives the ABR streams and edge servers 265-2 that deliver the audio/video of the live event to user devices 266. In this embodiment, the CDN is managed by a network operating center 268.

FIG. 2G schematically illustrates a system 207 for cloud-based production and presentation of a live event that is viewed by a remote audience, in accordance with an embodiment of the disclosure. As shown in FIG. 2G, audio and video of the event are captured at the event venue 271 and processed in the cloud 272; the cloud includes video and audio mixer applications 272-1, 272-2. In this embodiment, transport streams representing the live performance are delivered to viewers watching displays in remote galleries 273; audio and video of these viewers, simulating an ambience for the event venue, are also transmitted for the cloud-based production of the event. The transport stream representing the live performance and remote gallery engagement is processed and encoded in the cloud 274 and transmitted via multiple adaptive bit rate (ABR) streams to a content delivery network (CDN) 275 in communication with user devices 276. In this embodiment, the CDN is managed by a network operating center 278.

FIG. 2H schematically illustrates a system 208 for cloud-based production and presentation of a live event with a combined remote and virtual audience, in accordance with an embodiment of the disclosure. As shown in FIG. 2H, audio and video of the event are captured at the event venue 281 and processed in the cloud 282; the cloud includes a video mixer application 282-1. In this embodiment, an audio mixer application 282-2 includes an audience synthesizer and mixer; the remote live audience in galleries 283 listens to the performance (e.g., using headphones 283-1), but does not contribute to a simulated ambience of the event venue. In this embodiment, the system operator can select a background crowd audio appropriate to the type of sports/entertainment being shown.

The transport stream representing the video of the live performance and the synthesized background audio is processed and encoded in the cloud 284 and transmitted via multiple adaptive bit rate (ABR) streams to a content delivery network (CDN) 285 in communication with user devices 286. In this embodiment, the CDN is managed by a network operating center 288.

In this embodiment, each user of a device 286 can enable his/her avatar to be presented as a member of a virtual audience, and contribute audio (cheers, applause, etc.) to the synthesized crowd audio. The avatar/audio 287 from each remote device user is processed in the cloud 282. In this embodiment, the user's audio contribution to the audience sound is processed using a low-latency communication protocol (for example: UDP, SRT or WebRTC). In additional embodiments, a user can record and upload his/her real-time voice to the cloud-based production 282, and/or select pre-recorded voice samples to the virtual audio mix.

FIG. 2I is a flowchart depicting an illustrative embodiment of a method 209 in accordance with various aspects described herein. In step 2901, multiple viewers attend a live event remotely, using their individual communication devices. Each viewer device includes a camera and a microphone which acquires digital video and audio of the event viewer's face and voice (step 2902). The video of the viewer's face is processed (step 2904) to generate face animation parameters (FAPs). In this embodiment, animation is performed using the MPEG-4 FBA standard.

The FAPs are generated using face definition parameters (FDPs) that define a face model for the viewer; the FAPs are normalized displacements of standard face feature points from their neutral position. The FAP values are generated at a specified display frame rate. An avatar for the viewer (a virtual audience member) is constructed (step 2906) and transmitted in an animation stream over a network at a low bit rate (step 2908).

The viewer's voice, acquired by a microphone (e.g., microphone 236-1), is input to an audio encoder which generates a compressed audio stream (step 2905). In this embodiment, the compressed audio stream is transmitted at a low bit rate (which can be less than 10 kbps) to a cloud server for processing (step 2907). The cloud server performs a filtering procedure to remove spoken words from the audio stream.

In step 2910, the compressed animation and audio streams of the viewers are input to a processing system that builds the virtual audience using the assembled avatars. The virtual audience, including animated video and filtered audio components, is then transmitted to the viewers (step 2912).

While for purposes of simplicity of explanation, the respective processes are shown and described as a series of blocks in FIG. 2I, it is to be understood and appreciated that the claimed subject matter is not limited by the order of the blocks, as some blocks may occur in different orders and/or concurrently with other blocks from what is depicted and described herein. Moreover, not all illustrated blocks may be required to implement the methods described herein.

Referring now to FIG. 3, a block diagram 300 is shown illustrating an example, non-limiting embodiment of a virtualized communication network in accordance with various aspects described herein. In particular a virtualized communication network is presented that can be used to implement some or all of the subsystems and functions of system 100, the subsystems and functions of systems 201-203, and method 209 presented in FIGS. 1, 2A-2C, and 2I. For example, virtualized communication network 300 can facilitate in whole or in part transmitting a compressed video data stream and a compressed audio stream to a remote system providing content depicting a live event; the remote system aggregates a plurality of compressed video data streams and a plurality of compressed audio streams corresponding to a plurality of remote viewers, to obtain a virtual audience for the event.

In particular, a cloud networking architecture is shown that leverages cloud technologies and supports rapid innovation and scalability via a transport layer 350, a virtualized network function cloud 325 and/or one or more cloud computing environments 375. In various embodiments, this cloud networking architecture is an open architecture that leverages application programming interfaces (APIs); reduces complexity from services and operations; supports more nimble business models; and rapidly and seamlessly scales to meet evolving customer requirements including traffic growth, diversity of traffic types, and diversity of performance and reliability expectations.

In contrast to traditional network elements—which are typically integrated to perform a single function, the virtualized communication network employs virtual network elements (VNEs) 330, 332, 334, etc. that perform some or all of the functions of network elements 150, 152, 154, 156, etc. For example, the network architecture can provide a substrate of networking capability, often called Network Function Virtualization Infrastructure (NFVI) or simply infrastructure that is capable of being directed with software and Software Defined Networking (SDN) protocols to perform a broad variety of network functions and services. This infrastructure can include several types of substrates. The most typical type of substrate being servers that support Network Function Virtualization (NFV), followed by packet forwarding capabilities based on generic computing resources, with specialized network technologies brought to bear when general-purpose processors or general-purpose integrated circuit devices offered by merchants (referred to herein as merchant silicon) are not appropriate. In this case, communication services can be implemented as cloud-centric workloads.

As an example, a traditional network element 150 (shown in FIG. 1), such as an edge router can be implemented via a VNE 330 composed of NFV software modules, merchant silicon, and associated controllers. The software can be written so that increasing workload consumes incremental resources from a common resource pool, and moreover so that it is elastic: so, the resources are only consumed when needed. In a similar fashion, other network elements such as other routers, switches, edge caches, and middle-boxes are instantiated from the common resource pool. Such sharing of infrastructure across a broad set of uses makes planning and growing infrastructure easier to manage.

In an embodiment, the transport layer 350 includes fiber, cable, wired and/or wireless transport elements, network elements and interfaces to provide broadband access 110, wireless access 120, voice access 130, media access 140 and/or access to content sources 175 for distribution of content to any or all of the access technologies. In particular, in some cases a network element needs to be positioned at a specific place, and this allows for less sharing of common infrastructure. Other times, the network elements have specific physical layer adapters that cannot be abstracted or virtualized and might require special DSP code and analog front ends (AFEs) that do not lend themselves to implementation as VNEs 330, 332 or 334. These network elements can be included in transport layer 350.

The virtualized network function cloud 325 interfaces with the transport layer 350 to provide the VNEs 330, 332, 334, etc. to provide specific NFVs. In particular, the virtualized network function cloud 325 leverages cloud operations, applications, and architectures to support networking workloads. The virtualized network elements 330, 332 and 334 can employ network function software that provides either a one-for-one mapping of traditional network element function or alternately some combination of network functions designed for cloud computing. For example, VNEs 330, 332 and 334 can include route reflectors, domain name system (DNS) servers, and dynamic host configuration protocol (DHCP) servers, system architecture evolution (SAE) and/or mobility management entity (MME) gateways, broadband network gateways, IP edge routers for IP-VPN, Ethernet and other services, load balancers, distributers and other network elements. Because these elements do not typically need to forward substantial amounts of traffic, their workload can be distributed across a number of servers—each of which adds a portion of the capability, and which creates an overall elastic function with higher availability than its former monolithic version. These virtual network elements 330, 332, 334, etc. can be instantiated and managed using an orchestration approach similar to those used in cloud compute services.

The cloud computing environments 375 can interface with the virtualized network function cloud 325 via APIs that expose functional capabilities of the VNEs 330, 332, 334, etc. to provide the flexible and expanded capabilities to the virtualized network function cloud 325. In particular, network workloads may have applications distributed across the virtualized network function cloud 325 and cloud computing environment 375 and in the commercial cloud or might simply orchestrate workloads supported entirely in NFV infrastructure from these third-party locations.

Turning now to FIG. 4, there is illustrated a block diagram of a computing environment in accordance with various aspects described herein. In order to provide additional context for various embodiments of the embodiments described herein, FIG. 4 and the following discussion are intended to provide a brief, general description of a suitable computing environment 400 in which the various embodiments of the subject disclosure can be implemented. In particular, computing environment 400 can be used in the implementation of network elements 150, 152, 154, 156, access terminal 112, base station or access point 122, switching device 132, media terminal 142, and/or VNEs 330, 332, 334, etc. Each of these devices can be implemented via computer-executable instructions that can run on one or more computers, and/or in combination with other program modules and/or as a combination of hardware and software. For example, computing environment 400 can facilitate in whole or in part transmitting a compressed video data stream and a compressed audio stream to a remote system providing content depicting a live event; the remote system aggregates a plurality of compressed video data streams and a plurality of compressed audio streams corresponding to a plurality of remote viewers, to obtain a virtual audience for the event.

Generally, program modules comprise routines, programs, components, data structures, etc., that perform particular tasks or implement particular abstract data types. Moreover, those skilled in the art will appreciate that the methods can be practiced with other computer system configurations, comprising single-processor or multiprocessor computer systems, minicomputers, mainframe computers, as well as personal computers, hand-held computing devices, microprocessor-based or programmable consumer electronics, and the like, each of which can be operatively coupled to one or more associated devices.

As used herein, a processing circuit includes one or more processors as well as other application specific circuits such as an application specific integrated circuit, digital logic circuit, state machine, programmable gate array or other circuit that processes input signals or data and that produces output signals or data in response thereto. It should be noted that while any functions and features described herein in association with the operation of a processor could likewise be performed by a processing circuit.

The illustrated embodiments of the embodiments herein can be also practiced in distributed computing environments where certain tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules can be located in both local and remote memory storage devices.

Computing devices typically comprise a variety of media, which can comprise computer-readable storage media and/or communications media, which two terms are used herein differently from one another as follows. Computer-readable storage media can be any available storage media that can be accessed by the computer and comprises both volatile and nonvolatile media, removable and non-removable media. By way of example, and not limitation, computer-readable storage media can be implemented in connection with any method or technology for storage of information such as computer-readable instructions, program modules, structured data or unstructured data.

Computer-readable storage media can comprise, but are not limited to, random access memory (RAM), read only memory (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other memory technology, compact disk read only memory (CD-ROM), digital versatile disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices or other tangible and/or non-transitory media which can be used to store desired information. In this regard, the terms “tangible” or “non-transitory” herein as applied to storage, memory or computer-readable media, are to be understood to exclude only propagating transitory signals per se as modifiers and do not relinquish rights to all standard storage, memory or computer-readable media that are not only propagating transitory signals per se.

Computer-readable storage media can be accessed by one or more local or remote computing devices, e.g., via access requests, queries or other data retrieval protocols, for a variety of operations with respect to the information stored by the medium.

Communications media typically embody computer-readable instructions, data structures, program modules or other structured or unstructured data in a data signal such as a modulated data signal, e.g., a carrier wave or other transport mechanism, and comprises any information delivery or transport media. The term “modulated data signal” or signals refers to a signal that has one or more of its characteristics set or changed in such a manner as to encode information in one or more signals. By way of example, and not limitation, communication media comprise wired media, such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared and other wireless media.

With reference again to FIG. 4, the example environment can comprise a computer 402, the computer 402 comprising a processing unit 404, a system memory 406 and a system bus 408. The system bus 408 couples system components including, but not limited to, the system memory 406 to the processing unit 404. The processing unit 404 can be any of various commercially available processors. Dual microprocessors and other multiprocessor architectures can also be employed as the processing unit 404.

The system bus 408 can be any of several types of bus structure that can further interconnect to a memory bus (with or without a memory controller), a peripheral bus, and a local bus using any of a variety of commercially available bus architectures. The system memory 406 comprises ROM 410 and RAM 412. A basic input/output system (BIOS) can be stored in a non-volatile memory such as ROM, erasable programmable read only memory (EPROM), EEPROM, which BIOS contains the basic routines that help to transfer information between elements within the computer 402, such as during startup. The RAM 412 can also comprise a high-speed RAM such as static RAM for caching data.

The computer 402 further comprises an internal hard disk drive (HDD) 414 (e.g., EIDE, SATA), which internal HDD 414 can also be configured for external use in a suitable chassis (not shown), a magnetic floppy disk drive (FDD) 416, (e.g., to read from or write to a removable diskette 418) and an optical disk drive 420, (e.g., reading a CD-ROM disk 422 or, to read from or write to other high capacity optical media such as the DVD). The HDD 414, magnetic FDD 416 and optical disk drive 420 can be connected to the system bus 408 by a hard disk drive interface 424, a magnetic disk drive interface 426 and an optical drive interface 428, respectively. The hard disk drive interface 424 for external drive implementations comprises at least one or both of Universal Serial Bus (USB) and Institute of Electrical and Electronics Engineers (IEEE) 1394 interface technologies. Other external drive connection technologies are within contemplation of the embodiments described herein.

The drives and their associated computer-readable storage media provide nonvolatile storage of data, data structures, computer-executable instructions, and so forth. For the computer 402, the drives and storage media accommodate the storage of any data in a suitable digital format. Although the description of computer-readable storage media above refers to a hard disk drive (HDD), a removable magnetic diskette, and a removable optical media such as a CD or DVD, it should be appreciated by those skilled in the art that other types of storage media which are readable by a computer, such as zip drives, magnetic cassettes, flash memory cards, cartridges, and the like, can also be used in the example operating environment, and further, that any such storage media can contain computer-executable instructions for performing the methods described herein.

A number of program modules can be stored in the drives and RAM 412, comprising an operating system 430, one or more application programs 432, other program modules 434 and program data 436. All or portions of the operating system, applications, modules, and/or data can also be cached in the RAM 412. The systems and methods described herein can be implemented utilizing various commercially available operating systems or combinations of operating systems.

A user can enter commands and information into the computer 402 through one or more wired/wireless input devices, e.g., a keyboard 438 and a pointing device, such as a mouse 440. Other input devices (not shown) can comprise a microphone, an infrared (IR) remote control, a joystick, a game pad, a stylus pen, touch screen or the like. These and other input devices are often connected to the processing unit 404 through an input device interface 442 that can be coupled to the system bus 408, but can be connected by other interfaces, such as a parallel port, an IEEE 1394 serial port, a game port, a universal serial bus (USB) port, an IR interface, etc.

A monitor 444 or other type of display device can be also connected to the system bus 408 via an interface, such as a video adapter 446. It will also be appreciated that in alternative embodiments, a monitor 444 can also be any display device (e.g., another computer having a display, a smart phone, a tablet computer, etc.) for receiving display information associated with computer 402 via any communication means, including via the Internet and cloud-based networks. In addition to the monitor 444, a computer typically comprises other peripheral output devices (not shown), such as speakers, printers, etc.

The computer 402 can operate in a networked environment using logical connections via wired and/or wireless communications to one or more remote computers, such as a remote computer(s) 448. The remote computer(s) 448 can be a workstation, a server computer, a router, a personal computer, portable computer, microprocessor-based entertainment appliance, a peer device or other common network node, and typically comprises many or all of the elements described relative to the computer 402, although, for purposes of brevity, only a remote memory/storage device 450 is illustrated. The logical connections depicted comprise wired/wireless connectivity to a local area network (LAN) 452 and/or larger networks, e.g., a wide area network (WAN) 454. Such LAN and WAN networking environments are commonplace in offices and companies, and facilitate enterprise-wide computer networks, such as intranets, all of which can connect to a global communications network, e.g., the Internet.

When used in a LAN networking environment, the computer 402 can be connected to the LAN 452 through a wired and/or wireless communication network interface or adapter 456. The adapter 456 can facilitate wired or wireless communication to the LAN 452, which can also comprise a wireless AP disposed thereon for communicating with the adapter 456.

When used in a WAN networking environment, the computer 402 can comprise a modem 458 or can be connected to a communications server on the WAN 454 or has other means for establishing communications over the WAN 454, such as by way of the Internet. The modem 458, which can be internal or external and a wired or wireless device, can be connected to the system bus 408 via the input device interface 442. In a networked environment, program modules depicted relative to the computer 402 or portions thereof, can be stored in the remote memory/storage device 450. It will be appreciated that the network connections shown are example and other means of establishing a communications link between the computers can be used.

The computer 402 can be operable to communicate with any wireless devices or entities operatively disposed in wireless communication, e.g., a printer, scanner, desktop and/or portable computer, portable data assistant, communications satellite, any piece of equipment or location associated with a wirelessly detectable tag (e.g., a kiosk, news stand, restroom), and telephone. This can comprise Wireless Fidelity (Wi-Fi) and BLUETOOTH® wireless technologies. Thus, the communication can be a predefined structure as with a conventional network or simply an ad hoc communication between at least two devices.

Wi-Fi can allow connection to the Internet from a couch at home, a bed in a hotel room or a conference room at work, without wires. Wi-Fi is a wireless technology similar to that used in a cell phone that enables such devices, e.g., computers, to send and receive data indoors and out; anywhere within the range of a base station. Wi-Fi networks use radio technologies called IEEE 802.11 (a, b, g, n, ac, ag, etc.) to provide secure, reliable, fast wireless connectivity. A Wi-Fi network can be used to connect computers to each other, to the Internet, and to wired networks (which can use IEEE 802.3 or Ethernet). Wi-Fi networks operate in the unlicensed 2.4 and 5 GHz radio bands for example or with products that contain both bands (dual band), so the networks can provide real-world performance similar to the basic 10 BaseT wired Ethernet networks used in many offices.

Turning now to FIG. 5, an embodiment 500 of a mobile network platform 510 is shown that is an example of network elements 150, 152, 154, 156, and/or VNEs 330, 332, 334, etc. For example, platform 510 can facilitate in whole or in part transmitting a compressed video data stream and a compressed audio stream to a remote system providing content depicting a live event; the remote system aggregates a plurality of compressed video data streams and a plurality of compressed audio streams corresponding to a plurality of remote viewers, to obtain a virtual audience for the event.

In one or more embodiments, the mobile network platform 510 can generate and receive signals transmitted and received by base stations or access points such as base station or access point 122. Generally, mobile network platform 510 can comprise components, e.g., nodes, gateways, interfaces, servers, or disparate platforms, which facilitate both packet-switched (PS) (e.g., internet protocol (IP), frame relay, asynchronous transfer mode (ATM)) and circuit-switched (CS) traffic (e.g., voice and data), as well as control generation for networked wireless telecommunication. As a non-limiting example, mobile network platform 510 can be included in telecommunications carrier networks and can be considered carrier-side components as discussed elsewhere herein. Mobile network platform 510 comprises CS gateway node(s) 512 which can interface CS traffic received from legacy networks like telephony network(s) 540 (e.g., public switched telephone network (PSTN), or public land mobile network (PLMN)) or a signaling system #7 (SS7) network 560. CS gateway node(s) 512 can authorize and authenticate traffic (e.g., voice) arising from such networks. Additionally, CS gateway node(s) 512 can access mobility, or roaming, data generated through SS7 network 560; for instance, mobility data stored in a visited location register (VLR), which can reside in memory 530. Moreover, CS gateway node(s) 512 interfaces CS-based traffic and signaling and PS gateway node(s) 518. As an example, in a 3GPP UMTS network, CS gateway node(s) 512 can be realized at least in part in gateway GPRS support node(s) (GGSN). It should be appreciated that functionality and specific operation of CS gateway node(s) 512, PS gateway node(s) 518, and serving node(s) 516, is provided and dictated by radio technology(ies) utilized by mobile network platform 510 for telecommunication over a radio access network 520 with other devices, such as a radiotelephone 575.

In addition to receiving and processing CS-switched traffic and signaling, PS gateway node(s) 518 can authorize and authenticate PS-based data sessions with served mobile devices. Data sessions can comprise traffic, or content(s), exchanged with networks external to the mobile network platform 510, like wide area network(s) (WANs) 550, enterprise network(s) 570, and service network(s) 580, which can be embodied in local area network(s) (LANs), can also be interfaced with mobile network platform 510 through PS gateway node(s) 518. It is to be noted that WANs 550 and enterprise network(s) 570 can embody, at least in part, a service network(s) like IP multimedia subsystem (IMS). Based on radio technology layer(s) available in technology resource(s) or radio access network 520, PS gateway node(s) 518 can generate packet data protocol contexts when a data session is established; other data structures that facilitate routing of packetized data also can be generated. To that end, in an aspect, PS gateway node(s) 518 can comprise a tunnel interface (e.g., tunnel termination gateway (TTG) in 3GPP UMTS network(s) (not shown)) which can facilitate packetized communication with disparate wireless network(s), such as Wi-Fi networks.

In embodiment 500, mobile network platform 510 also comprises serving node(s) 516 that, based upon available radio technology layer(s) within technology resource(s) in the radio access network 520, convey the various packetized flows of data streams received through PS gateway node(s) 518. It is to be noted that for technology resource(s) that rely primarily on CS communication, server node(s) can deliver traffic without reliance on PS gateway node(s) 518; for example, server node(s) can embody at least in part a mobile switching center. As an example, in a 3GPP UMTS network, serving node(s) 516 can be embodied in serving GPRS support node(s) (SGSN).

For radio technologies that exploit packetized communication, server(s) 514 in mobile network platform 510 can execute numerous applications that can generate multiple disparate packetized data streams or flows, and manage (e.g., schedule, queue, format . . . ) such flows. Such application(s) can comprise add-on features to standard services (for example, provisioning, billing, customer support . . . ) provided by mobile network platform 510. Data streams (e.g., content(s) that are part of a voice call or data session) can be conveyed to PS gateway node(s) 518 for authorization/authentication and initiation of a data session, and to serving node(s) 516 for communication thereafter. In addition to application server, server(s) 514 can comprise utility server(s), a utility server can comprise a provisioning server, an operations and maintenance server, a security server that can implement at least in part a certificate authority and firewalls as well as other security mechanisms, and the like. In an aspect, security server(s) secure communication served through mobile network platform 510 to ensure network's operation and data integrity in addition to authorization and authentication procedures that CS gateway node(s) 512 and PS gateway node(s) 518 can enact. Moreover, provisioning server(s) can provision services from external network(s) like networks operated by a disparate service provider; for instance, WAN 550 or Global Positioning System (GPS) network(s) (not shown). Provisioning server(s) can also provision coverage through networks associated to mobile network platform 510 (e.g., deployed and operated by the same service provider), such as the distributed antennas networks shown in FIG. 1(s) that enhance wireless service coverage by providing more network coverage.

It is to be noted that server(s) 514 can comprise one or more processors configured to confer at least in part the functionality of mobile network platform 510. To that end, the one or more processors can execute code instructions stored in memory 530, for example. It should be appreciated that server(s) 514 can comprise a content manager, which operates in substantially the same manner as described hereinbefore.

In example embodiment 500, memory 530 can store information related to operation of mobile network platform 510. Other operational information can comprise provisioning information of mobile devices served through mobile network platform 510, subscriber databases; application intelligence, pricing schemes, e.g., promotional rates, flat-rate programs, couponing campaigns; technical specification(s) consistent with telecommunication protocols for operation of disparate radio, or wireless, technology layers; and so forth. Memory 530 can also store information from at least one of telephony network(s) 540, WAN 550, SS7 network 560, or enterprise network(s) 570. In an aspect, memory 530 can be, for example, accessed as part of a data store component or as a remotely connected memory store.

In order to provide a context for the various aspects of the disclosed subject matter, FIG. 5, and the following discussion, are intended to provide a brief, general description of a suitable environment in which the various aspects of the disclosed subject matter can be implemented. While the subject matter has been described above in the general context of computer-executable instructions of a computer program that runs on a computer and/or computers, those skilled in the art will recognize that the disclosed subject matter also can be implemented in combination with other program modules. Generally, program modules comprise routines, programs, components, data structures, etc. that perform particular tasks and/or implement particular abstract data types.

Turning now to FIG. 6, an illustrative embodiment of a communication device 600 is shown. The communication device 600 can serve as an illustrative embodiment of devices such as data terminals 114, mobile devices 124, vehicle 126, display devices 144 or other client devices for communication via either communications network 125. For example, computing device 600 can facilitate in whole or in part transmitting a compressed video data stream and a compressed audio stream to a remote system providing content depicting a live event; the remote system aggregates a plurality of compressed video data streams and a plurality of compressed audio streams corresponding to a plurality of remote viewers, to obtain a virtual audience for the event.

The communication device 600 can comprise a wireline and/or wireless transceiver 602 (herein transceiver 602), a user interface (UI) 604, a power supply 614, a location receiver 616, a motion sensor 618, an orientation sensor 620, and a controller 606 for managing operations thereof. The transceiver 602 can support short-range or long-range wireless access technologies such as Bluetooth®, ZigBee®, Wi-Fi, DECT, or cellular communication technologies, just to mention a few (Bluetooth® and ZigBee® are trademarks registered by the Bluetooth® Special Interest Group and the ZigBee® Alliance, respectively). Cellular technologies can include, for example, CDMA-1×, UMTS/HSDPA, GSM/GPRS, TDMA/EDGE, EV/DO, WiMAX, SDR, LTE, as well as other next generation wireless communication technologies as they arise. The transceiver 602 can also be adapted to support circuit-switched wireline access technologies (such as PSTN), packet-switched wireline access technologies (such as TCP/IP, VoIP, etc.), and combinations thereof.

The UI 604 can include a depressible or touch-sensitive keypad 608 with a navigation mechanism such as a roller ball, a joystick, a mouse, or a navigation disk for manipulating operations of the communication device 600. The keypad 608 can be an integral part of a housing assembly of the communication device 600 or an independent device operably coupled thereto by a tethered wireline interface (such as a USB cable) or a wireless interface supporting for example Bluetooth®. The keypad 608 can represent a numeric keypad commonly used by phones, and/or a QWERTY keypad with alphanumeric keys. The UI 604 can further include a display 610 such as monochrome or color LCD (Liquid Crystal Display), OLED (Organic Light Emitting Diode) or other suitable display technology for conveying images to an end user of the communication device 600. In an embodiment where the display 610 is touch-sensitive, a portion or all of the keypad 608 can be presented by way of the display 610 with navigation features.

The display 610 can use touch screen technology to also serve as a user interface for detecting user input. As a touch screen display, the communication device 600 can be adapted to present a user interface having graphical user interface (GUI) elements that can be selected by a user with a touch of a finger. The display 610 can be equipped with capacitive, resistive or other forms of sensing technology to detect how much surface area of a user's finger has been placed on a portion of the touch screen display. This sensing information can be used to control the manipulation of the GUI elements or other functions of the user interface. The display 610 can be an integral part of the housing assembly of the communication device 600 or an independent device communicatively coupled thereto by a tethered wireline interface (such as a cable) or a wireless interface.

The UI 604 can also include an audio system 612 that utilizes audio technology for conveying low volume audio (such as audio heard in proximity of a human ear) and high-volume audio (such as speakerphone for hands free operation). The audio system 612 can further include a microphone for receiving audible signals of an end user. The audio system 612 can also be used for voice recognition applications. The UI 604 can further include an image sensor 613 such as a charged coupled device (CCD) camera for capturing still or moving images.

The power supply 614 can utilize common power management technologies such as replaceable and rechargeable batteries, supply regulation technologies, and/or charging system technologies for supplying energy to the components of the communication device 600 to facilitate long-range or short-range portable communications. Alternatively, or in combination, the charging system can utilize external power sources such as DC power supplied over a physical interface such as a USB port or other suitable tethering technologies.

The location receiver 616 can utilize location technology such as a global positioning system (GPS) receiver capable of assisted GPS for identifying a location of the communication device 600 based on signals generated by a constellation of GPS satellites, which can be used for facilitating location services such as navigation. The motion sensor 618 can utilize motion sensing technology such as an accelerometer, a gyroscope, or other suitable motion sensing technology to detect motion of the communication device 600 in three-dimensional space. The orientation sensor 620 can utilize orientation sensing technology such as a magnetometer to detect the orientation of the communication device 600 (north, south, west, and east, as well as combined orientations in degrees, minutes, or other suitable orientation metrics).

The communication device 600 can use the transceiver 602 to also determine a proximity to a cellular, Wi-Fi, Bluetooth®, or other wireless access points by sensing techniques such as utilizing a received signal strength indicator (RSSI) and/or signal time of arrival (TOA) or time of flight (TOF) measurements. The controller 606 can utilize computing technologies such as a microprocessor, a digital signal processor (DSP), programmable gate arrays, application specific integrated circuits, and/or a video processor with associated storage memory such as Flash, ROM, RAM, SRAM, DRAM or other storage technologies for executing computer instructions, controlling, and processing data supplied by the aforementioned components of the communication device 600.

Other components not shown in FIG. 6 can be used in one or more embodiments of the subject disclosure. For instance, the communication device 600 can include a slot for adding or removing an identity module such as a Subscriber Identity Module (SIM) card or Universal Integrated Circuit Card (UICC). SIM or UICC cards can be used for identifying subscriber services, executing programs, storing subscriber data, and so on.

The terms “first,” “second,” “third,” and so forth, as used in the claims, unless otherwise clear by context, is for clarity only and does not otherwise indicate or imply any order in time. For instance, “a first determination,” “a second determination,” and “a third determination,” does not indicate or imply that the first determination is to be made before the second determination, or vice versa, etc.

In the subject specification, terms such as “store,” “storage,” “data store,” data storage,” “database,” and substantially any other information storage component relevant to operation and functionality of a component, refer to “memory components,” or entities embodied in a “memory” or components comprising the memory. It will be appreciated that the memory components described herein can be either volatile memory or nonvolatile memory, or can comprise both volatile and nonvolatile memory, by way of illustration, and not limitation, volatile memory, non-volatile memory, disk storage, and memory storage. Further, nonvolatile memory can be included in read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM), or flash memory. Volatile memory can comprise random access memory (RAM), which acts as external cache memory. By way of illustration and not limitation, RAM is available in many forms such as synchronous RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and direct Rambus RAM (DRRAM). Additionally, the disclosed memory components of systems or methods herein are intended to comprise, without being limited to comprising, these and any other suitable types of memory.

Moreover, it will be noted that the disclosed subject matter can be practiced with other computer system configurations, comprising single-processor or multiprocessor computer systems, mini-computing devices, mainframe computers, as well as personal computers, hand-held computing devices (e.g., PDA, phone, smartphone, watch, tablet computers, netbook computers, etc.), microprocessor-based or programmable consumer or industrial electronics, and the like. The illustrated aspects can also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network; however, some if not all aspects of the subject disclosure can be practiced on stand-alone computers. In a distributed computing environment, program modules can be located in both local and remote memory storage devices.

In one or more embodiments, information regarding use of services can be generated including services being accessed, media consumption history, user preferences, and so forth. This information can be obtained by various methods including user input, detecting types of communications (e.g., video content vs. audio content), analysis of content streams, sampling, and so forth. The generating, obtaining and/or monitoring of this information can be responsive to an authorization provided by the user. In one or more embodiments, an analysis of data can be subject to authorization from user(s) associated with the data, such as an opt-in, an opt-out, acknowledgement requirements, notifications, selective authorization based on types of data, and so forth.

Some of the embodiments described herein can also employ artificial intelligence (AI) to facilitate automating one or more features described herein. The embodiments (e.g., in connection with automatically identifying acquired cell sites that provide a maximum value/benefit after addition to an existing communication network) can employ various AI-based schemes for conducting various embodiments thereof. Moreover, the classifier can be employed to determine a ranking or priority of each cell site of the acquired network. A classifier is a function that maps an input attribute vector, x=(x₁, x₂, x₃, x₄ . . . x_(n)), to a confidence that the input belongs to a class, that is, f(x)=confidence (class). Such classification can employ a probabilistic and/or statistical-based analysis (e.g., factoring into the analysis utilities and costs) to determine or infer an action that a user desires to be automatically performed. A support vector machine (SVM) is an example of a classifier that can be employed. The SVM operates by finding a hypersurface in the space of possible inputs, which the hypersurface attempts to split the triggering criteria from the non-triggering events. Intuitively, this makes the classification correct for testing data that is near, but not identical to training data. Other directed and undirected model classification approaches comprise, e.g., naïve Bayes, Bayesian networks, decision trees, neural networks, fuzzy logic models, and probabilistic classification models providing different patterns of independence can be employed. Classification as used herein also is inclusive of statistical regression that is utilized to develop models of priority.

As will be readily appreciated, one or more of the embodiments can employ classifiers that are explicitly trained (e.g., via a generic training data) as well as implicitly trained (e.g., via observing UE behavior, operator preferences, historical information, receiving extrinsic information). For example, SVMs can be configured via a learning or training phase within a classifier constructor and feature selection module. Thus, the classifier(s) can be used to automatically learn and perform a number of functions, including but not limited to determining according to predetermined criteria which of the acquired cell sites will benefit a maximum number of subscribers and/or which of the acquired cell sites will add minimum value to the existing communication network coverage, etc.

As used in some contexts in this application, in some embodiments, the terms “component,” “system” and the like are intended to refer to, or comprise, a computer-related entity or an entity related to an operational apparatus with one or more specific functionalities, wherein the entity can be either hardware, a combination of hardware and software, software, or software in execution. As an example, a component may be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, computer-executable instructions, a program, and/or a computer. By way of illustration and not limitation, both an application running on a server and the server can be a component. One or more components may reside within a process and/or thread of execution and a component may be localized on one computer and/or distributed between two or more computers. In addition, these components can execute from various computer readable media having various data structures stored thereon. The components may communicate via local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network such as the Internet with other systems via the signal). As another example, a component can be an apparatus with specific functionality provided by mechanical parts operated by electric or electronic circuitry, which is operated by a software or firmware application executed by a processor, wherein the processor can be internal or external to the apparatus and executes at least a part of the software or firmware application. As yet another example, a component can be an apparatus that provides specific functionality through electronic components without mechanical parts, the electronic components can comprise a processor therein to execute software or firmware that confers at least in part the functionality of the electronic components. While various components have been illustrated as separate components, it will be appreciated that multiple components can be implemented as a single component, or a single component can be implemented as multiple components, without departing from example embodiments.

Further, the various embodiments can be implemented as a method, apparatus or article of manufacture using standard programming and/or engineering techniques to produce software, firmware, hardware or any combination thereof to control a computer to implement the disclosed subject matter. The term “article of manufacture” as used herein is intended to encompass a computer program accessible from any computer-readable device or computer-readable storage/communications media. For example, computer readable storage media can include, but are not limited to, magnetic storage devices (e.g., hard disk, floppy disk, magnetic strips), optical disks (e.g., compact disk (CD), digital versatile disk (DVD)), smart cards, and flash memory devices (e.g., card, stick, key drive). Of course, those skilled in the art will recognize many modifications can be made to this configuration without departing from the scope or spirit of the various embodiments.

In addition, the words “example” and “exemplary” are used herein to mean serving as an instance or illustration. Any embodiment or design described herein as “example” or “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word example or exemplary is intended to present concepts in a concrete fashion. As used in this application, the term “or” is intended to mean an inclusive “or” rather than an exclusive “or.” That is, unless specified otherwise or clear from context, “X employs A or B” is intended to mean any of the natural inclusive permutations. That is, if X employs A; X employs B; or X employs both A and B, then “X employs A or B” is satisfied under any of the foregoing instances. In addition, the articles “a” and “an” as used in this application and the appended claims should generally be construed to mean “one or more” unless specified otherwise or clear from context to be directed to a singular form.

Moreover, terms such as “user equipment,” “mobile station,” “mobile,” subscriber station,” “access terminal,” “terminal,” “handset,” “mobile device” (and/or terms representing similar terminology) can refer to a wireless device utilized by a subscriber or user of a wireless communication service to receive or convey data, control, voice, video, sound, gaming or substantially any data-stream or signaling-stream. The foregoing terms are utilized interchangeably herein and with reference to the related drawings.

Furthermore, the terms “user,” “subscriber,” “customer,” “consumer” and the like are employed interchangeably throughout, unless context warrants particular distinctions among the terms. It should be appreciated that such terms can refer to human entities or automated components supported through artificial intelligence (e.g., a capacity to make inference based, at least, on complex mathematical formalisms), which can provide simulated vision, sound recognition and so forth.

As employed herein, the term “processor” can refer to substantially any computing processing unit or device comprising, but not limited to comprising, single-core processors; single-processors with software multithread execution capability; multi-core processors; multi-core processors with software multithread execution capability; multi-core processors with hardware multithread technology; parallel platforms; and parallel platforms with distributed shared memory. Additionally, a processor can refer to an integrated circuit, an application specific integrated circuit (ASIC), a digital signal processor (DSP), a field programmable gate array (FPGA), a programmable logic controller (PLC), a complex programmable logic device (CPLD), a discrete gate or transistor logic, discrete hardware components or any combination thereof designed to perform the functions described herein. Processors can exploit nano-scale architectures such as, but not limited to, molecular and quantum-dot based transistors, switches and gates, in order to optimize space usage or enhance performance of user equipment. A processor can also be implemented as a combination of computing processing units.

As used herein, terms such as “data storage,” data storage,” “database,” and substantially any other information storage component relevant to operation and functionality of a component, refer to “memory components,” or entities embodied in a “memory” or components comprising the memory. It will be appreciated that the memory components or computer-readable storage media, described herein can be either volatile memory or nonvolatile memory or can include both volatile and nonvolatile memory.

What has been described above includes mere examples of various embodiments. It is, of course, not possible to describe every conceivable combination of components or methodologies for purposes of describing these examples, but one of ordinary skill in the art can recognize that many further combinations and permutations of the present embodiments are possible. Accordingly, the embodiments disclosed and/or claimed herein are intended to embrace all such alterations, modifications and variations that fall within the spirit and scope of the appended claims. Furthermore, to the extent that the term “includes” is used in either the detailed description or the claims, such term is intended to be inclusive in a manner similar to the term “comprising” as “comprising” is interpreted when employed as a transitional word in a claim.

In addition, a flow diagram may include a “start” and/or “continue” indication. The “start” and “continue” indications reflect that the steps presented can optionally be incorporated in or otherwise used in conjunction with other routines. In this context, “start” indicates the beginning of the first step presented and may be preceded by other activities not specifically shown. Further, the “continue” indication reflects that the steps presented may be performed multiple times and/or may be succeeded by other activities not specifically shown. Further, while a flow diagram indicates a particular ordering of steps, other orderings are likewise possible provided that the principles of causality are maintained.

As may also be used herein, the term(s) “operably coupled to,” “coupled to,” and/or “coupling” includes direct coupling between items and/or indirect coupling between items via one or more intervening items. Such items and intervening items include, but are not limited to, junctions, communication paths, components, circuit elements, circuits, functional blocks, and/or devices. As an example of indirect coupling, a signal conveyed from a first item to a second item may be modified by one or more intervening items by modifying the form, nature or format of information in a signal, while one or more elements of the information in the signal are nevertheless conveyed in a manner than can be recognized by the second item. In a further example of indirect coupling, an action in a first item can cause a reaction on the second item, as a result of actions and/or reactions in one or more intervening items.

Although specific embodiments have been illustrated and described herein, it should be appreciated that any arrangement which achieves the same or similar purpose may be substituted for the embodiments described or shown by the subject disclosure. The subject disclosure is intended to cover any and all adaptations or variations of various embodiments. Combinations of the above embodiments, and other embodiments not specifically described herein, can be used in the subject disclosure. For instance, one or more features from one or more embodiments can be combined with one or more features of one or more other embodiments. In one or more embodiments, features that are positively recited can also be negatively recited and excluded from the embodiment with or without replacement by another structural and/or functional feature. The steps or functions described with respect to the embodiments of the subject disclosure can be performed in any order. The steps or functions described with respect to the embodiments of the subject disclosure can be performed alone or in combination with other steps or functions of the subject disclosure, as well as from other embodiments or from other steps that have not been described in the subject disclosure. Further, more than or less than all of the features described with respect to an embodiment can also be utilized. 

What is claimed is:
 1. A method comprising: acquiring, by a processing system including a processor, a video image of a remote viewer of a plurality of remote viewers of content depicting an event; generating, by the processing system, animation parameters relating to the video image, the animation parameters based on an animation model, the animation parameters corresponding to spatial deviations of portions of the video image from feature points of the animation model; constructing, by the processing system based on the animation parameters, an avatar of the remote viewer comprising an animated version of the video image; encoding, by the processing system, the animated version to obtain a compressed video data stream; and transmitting, by the processing system, the compressed video data stream to a remote system providing the content, wherein the compressed video data stream is transmitted at a bit rate of less than about 2 kbps, wherein the remote system aggregates a plurality of compressed video data streams corresponding to the plurality of remote viewers, to obtain a virtual audience for the event, wherein the virtual audience comprises avatars of the plurality of remote viewers, and wherein the remote system integrates the virtual audience into the content as a background for the event.
 2. The method of claim 1, wherein the animation parameters are generated in accordance with an MPEG-4 Face and Body Animation (FBA) standard.
 3. The method of claim 2, wherein the video image comprises a face of the remote viewer, and wherein the animation model comprises face definition parameters, the feature points being determined in accordance with the face definition parameters.
 4. The method of claim 1, wherein the animation model is independent of the animation parameters, and wherein the animation model is stored in a location accessible to the processing system.
 5. The method of claim 1, wherein the remote viewer selects the animation model.
 6. The method of claim 1, wherein a cloud server filters sound of the virtual audience in a real-time filtering procedure.
 7. The method of claim 1, further comprising transmitting a compressed audio stream at a bit rate less than about 10 kbps.
 8. The method of claim 1, wherein the event is a live sports or entertainment event.
 9. The method of claim 1, wherein the animation parameters are generated at a specified frame rate based on a presentation of the event.
 10. The method of claim 1, wherein the virtual audience is visible to performers at the event.
 11. A device, comprising: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising: downloading content depicting an event from a remote system; acquiring a video image of a face of a remote viewer of a plurality of remote viewers of the content; generating face animation parameters relating to the video image, the face animation parameters based on a face animation model, the face animation parameters corresponding to spatial deviations of portions of the video image from feature points of the face animation model; constructing, by the processing system based on the face animation parameters, an avatar of the remote viewer comprising an animated version of the video image; encoding, by the processing system, the animated version to obtain a compressed animation data stream; and transmitting, by the processing system, the compressed animation data stream to the remote system, wherein the compressed animation data stream is transmitted at a bit rate of less than about 2 kbps, wherein the remote system aggregates a plurality of compressed animation data streams corresponding to the plurality of remote viewers, to obtain a virtual audience for the event, wherein the virtual audience comprises avatars of the plurality of remote viewers.
 12. The device of claim 11, wherein the face animation parameters are generated in accordance with an MPEG-4 Face and Body Animation (FBA) standard.
 13. The device of claim 11, wherein the face animation parameters are generated at a specified frame rate based on a presentation of the event.
 14. The device of claim 13, wherein the processing system comprises a plurality of processors operating in a distributed computing environment.
 15. The device of claim 14, wherein the virtual audience is visible to performers at the event.
 16. A non-transitory, machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising: downloading content depicting an event from a remote system; acquiring a video image of a face of a remote viewer of a plurality of remote viewers of the content; generating face animation parameters relating to the video image, the face animation parameters based on a face animation model, the face animation parameters corresponding to spatial deviations of portions of the video image from feature points of the face animation model; constructing, by the processing system based on the face animation parameters, an avatar of the remote viewer comprising an animated version of the video image; encoding, by the processing system, the animated version to obtain a compressed animation data stream; and transmitting, by the processing system, the compressed animation data stream to the remote system, wherein the compressed animation data stream is transmitted at a bit rate of less than about 2 kbps, wherein the remote system aggregates a plurality of compressed animation data streams corresponding to the plurality of remote viewers, to obtain a virtual audience for the event, wherein the virtual audience comprises avatars of the plurality of remote viewers.
 17. The non-transitory, machine-readable medium of claim 16, wherein the face animation parameters are generated in accordance with an MPEG-4 Face and Body Animation (FBA) standard.
 18. The non-transitory, machine-readable medium of claim 16, wherein the face animation parameters are generated at a specified frame rate based on a presentation of the event.
 19. The non-transitory, machine-readable medium of claim 16, wherein the virtual audience is visible to performers at the event.
 20. The non-transitory, machine-readable medium of claim 16, wherein the processing system comprises a plurality of processors operating in a distributed computing environment. 